Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools

Summary: The growing appetite of behavioral neuroscience for automated data production is prompting the need for new computational standards allowing improved interoperability, reproducibility, and shareability. We show here how these issues can be solved by repurposing existing genomic formats whos...

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Main Authors: Jose Espinosa-Carrasco, Ionas Erb, Toni Hermoso Pulido, Julia Ponomarenko, Mara Dierssen, Cedric Notredame
Format: Article
Language:English
Published: Elsevier 2018-11-01
Series:iScience
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004218301822
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author Jose Espinosa-Carrasco
Ionas Erb
Toni Hermoso Pulido
Julia Ponomarenko
Mara Dierssen
Cedric Notredame
author_facet Jose Espinosa-Carrasco
Ionas Erb
Toni Hermoso Pulido
Julia Ponomarenko
Mara Dierssen
Cedric Notredame
author_sort Jose Espinosa-Carrasco
collection DOAJ
description Summary: The growing appetite of behavioral neuroscience for automated data production is prompting the need for new computational standards allowing improved interoperability, reproducibility, and shareability. We show here how these issues can be solved by repurposing existing genomic formats whose structure perfectly supports the handling of time series. This allows existing genomic analysis and visualization tools to be deployed onto behavioral data. As a proof of principle, we implemented the conversion procedure in Pergola, an open source software, and used genomics tools to reproduce results obtained in mouse, fly, and worm. We also show how common genomics techniques such as principal component analysis, hidden Markov modeling, and volcano plots can be deployed on the reformatted behavioral data. These analyses are easy to share because they depend on the scripting of public software. They are also easy to reproduce thanks to their integration within Nextflow, a workflow manager using containerized software. : Biological Sciences; Genetics; Behavioral Neuroscience; Bioinformatics Subject Areas: Biological Sciences, Genetics, Behavioral Neuroscience, Bioinformatics
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spelling doaj.art-c358764c1d024973aeaad45ebd6009e42022-12-22T02:59:25ZengElsevieriScience2589-00422018-11-019244257Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis ToolsJose Espinosa-Carrasco0Ionas Erb1Toni Hermoso Pulido2Julia Ponomarenko3Mara Dierssen4Cedric Notredame5Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, Barcelona 08028, SpainCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, SpainCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, SpainCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona, SpainCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Valencia, Spain; Corresponding authorCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Corresponding authorSummary: The growing appetite of behavioral neuroscience for automated data production is prompting the need for new computational standards allowing improved interoperability, reproducibility, and shareability. We show here how these issues can be solved by repurposing existing genomic formats whose structure perfectly supports the handling of time series. This allows existing genomic analysis and visualization tools to be deployed onto behavioral data. As a proof of principle, we implemented the conversion procedure in Pergola, an open source software, and used genomics tools to reproduce results obtained in mouse, fly, and worm. We also show how common genomics techniques such as principal component analysis, hidden Markov modeling, and volcano plots can be deployed on the reformatted behavioral data. These analyses are easy to share because they depend on the scripting of public software. They are also easy to reproduce thanks to their integration within Nextflow, a workflow manager using containerized software. : Biological Sciences; Genetics; Behavioral Neuroscience; Bioinformatics Subject Areas: Biological Sciences, Genetics, Behavioral Neuroscience, Bioinformaticshttp://www.sciencedirect.com/science/article/pii/S2589004218301822
spellingShingle Jose Espinosa-Carrasco
Ionas Erb
Toni Hermoso Pulido
Julia Ponomarenko
Mara Dierssen
Cedric Notredame
Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools
iScience
title Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools
title_full Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools
title_fullStr Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools
title_full_unstemmed Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools
title_short Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools
title_sort pergola boosting visualization and analysis of longitudinal data by unlocking genomic analysis tools
url http://www.sciencedirect.com/science/article/pii/S2589004218301822
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